C5003 Graduate Diploma of Applied Data Science
Faculty of Information Technology
Graduate Diploma of Applied Data Science (C5003) is a 48-credit-point, graduate diploma course from the Faculty of Information Technology, taught at Monash Online. Map your units semester by semester with the MonMap planner.
- Credit points
- 48
- Campus
- Monash Online
- Online
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Requisite map
Overview
The Graduate Diploma of Applied Data Science will prepare you for a career in data science giving you the skills needed to deal effectively within the areas of data analysis, data management or big data processing. The course includes topics in statistical and exploratory analysis, data formats and languages, processing of massive data sets, management of data and its role and impact in an organisation and society.
Course structure
Part A. Foundation studies18 credit points
Part B. Core studies18 credit points
Part C. Specialist studies6 credit points
Part D. Applied studies6 credit points
The handbook's description of this structure
This course is structured in four consecutive parts: Part A: Foundation studies, Part B: Core studies, Part C: Specialist studies and Part D: Applied studies
Part A. Foundation studies
These studies will provide a foundation for applied data science.
Part B. Core studies
These studies will provide an orientation and draw on best practices within the broad field of data science practice and research. Your studies will focus on fundamentals and core knowledge.
Part C. Specialist studies
The focus of these studies is specialising in the area of data science.
Part D. Applied studies
The focus of these studies is professional or scholarly work that can contribute to the portfolio of professional development.
Entry points
Depending on prior qualifications you may receive entry level credit (a form of block credit) which determines your point of entry to the course:
If you are admitted at entry Level 1 you complete 48 credit points, comprising Parts A, B, C and D
If you are admitted at entry Level 2 you complete 24 credit points, comprising Parts C and D and two units that have not been completed in Part B.
This course comprised 48 credit points. Unit are 6 credit points unless otherwise stated.
Part A. Foundation studies (18 credit points)
You must complete the following units:
ITO4132 Introduction to databases
ITO4133 Introduction to Python
MAT9004 Mathematical foundations for data science
Part B. Core studies (18 credit points)
You must complete the following units:
ITO5145 Introduction to data science
ITO5196 Data wrangling
ITO5197 Statistical data modelling
Part C. Specialist studies (6 credit points)
You must complete 6 credit points from the following:
ITO5147 Data exploration and visualisation
ITO5149 Applied data analysis
ITO5201 Machine learning
ITO5202 Data processing for big data
ITO5212 Data analysis for semi-structured data
Part D. Applied studies (6 credit points)
You must complete:
ITO5001 Applied practice 1
Learning outcomes
These course outcomes are aligned with the Australian Qualifications Framework and Monash Graduate Attributes.
Upon successful completion of this course it is expected that you will be able to:
- 1
apply contemporary data exploration, data mining, and machine learning tools and methods to real-world data science problems;
- 2
investigate and analyse the core issues and requirements critically in developing data analysis capability in a global organisation;
- 3
apply knowledge of the data science lifecycle to projects in new application areas in accordance with professional best practice;
- 4
document ethical and legal issues, norms in privacy, and other areas of community impact regarding the practice of data science;
- 5
communicate data science-related tasks to various stakeholders perceptively and effectively.
Entry requirements
English language
Monash Level A, that is: IELTS (Academic): 6.5 overall (no band lower than 6.0); or Pearson Test of English (Academic): score of 58 overall with no band lower than 50; or TOEFL Internet-based test: score of 79 overall with minimum scores: Writing: 21, Listening: 12, Reading: 13 and Speaking: 18; or Equivalent approved English test
Pathways
Graduate Certificate of Applied Data Science (C4012)
More information
Progression to further studies
Students who successfully complete the Graduate Diploma of Applied Data Science (C5003) may be eligible for admission at entry point 3 into the Master of Applied Data Science (C6011).
Other information
The Graduate Diploma of Applied Data Science will prepare you for a career in data science giving you the skills needed to deal effectively within the areas of data analysis, data management or big data processing. The course includes topics in statistical and exploratory analysis, data formats and languages, processing of massive data sets, management of data and its role and impact in an organisation and society.
Contacts
- Academic Coordinator
- Eehui Lim
Common questions
Where can I study Graduate Diploma of Applied Data Science?
At Monash Online.
How do I plan my Graduate Diploma of Applied Data Science units?
Open the course in the MonMap planner. It lays out your semesters, checks prerequisites as you drag units in, and tracks the credit points each requirement still needs.